lliai / Awesome-LoRA-Low-Rank-Adaptation
Awesome-Low-Rank-Adaptation
☆83Updated 5 months ago
Alternatives and similar repositories for Awesome-LoRA-Low-Rank-Adaptation:
Users that are interested in Awesome-LoRA-Low-Rank-Adaptation are comparing it to the libraries listed below
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆175Updated 3 months ago
- A curated list of Model Merging methods.☆91Updated 6 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆70Updated 4 months ago
- ☆48Updated 3 months ago
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆52Updated 3 weeks ago
- ☆100Updated 8 months ago
- [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models☆72Updated last year
- Official Pytorch Implementation of "OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning" b…☆31Updated 9 months ago
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆106Updated last week
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated 10 months ago
- ☆127Updated 8 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆64Updated last month
- LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters☆31Updated 2 weeks ago
- Official implementation of the ICLR paper "Streamlining Redundant Layers to Compress Large Language Models"☆10Updated 2 weeks ago
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆19Updated 6 months ago
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆91Updated 8 months ago
- A generalized framework for subspace tuning methods in parameter efficient fine-tuning.☆130Updated last month
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆33Updated 9 months ago
- ☆14Updated 6 months ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆45Updated 11 months ago
- Data distillation benchmark☆58Updated this week
- ☆17Updated 3 months ago
- ☆45Updated 3 months ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆63Updated 11 months ago
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆21Updated last week
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆43Updated 2 months ago
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆44Updated 2 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆40Updated 5 months ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆76Updated 3 months ago
- ☆142Updated 6 months ago